Clustering data with heatmap algorithm for (Study ST003281)

This analysis uses the 'heatmap.2' function of gplots package in the R statistics environment


The rows are scaled to have mean=0 and standard deviation=1

Factors:

F1Genotype:H99 | Treatment:0 | Sample source:Cells
F2Genotype:H99 | Treatment:250 | Sample source:Cells
F3Genotype:H99 | Treatment:H99-iron-20Pi-24h | Sample source:Cells
F4Genotype:H99 | Treatment:H99-iron-20Pi-6h | Sample source:Cells
F5Genotype:H99 | Treatment:H99-iron-24h | Sample source:Cells
F6Genotype:H99 | Treatment:H99-iron-6h | Sample source:Cells
F7Genotype:H99 | Treatment:H99-no iron-20Pi-6h | Sample source:Cells
F8Genotype:H99 | Treatment:H99-no iron-6h | Sample source:Cells
F9Genotype:H99 | Treatment:QC | Sample source:Cells
F10Genotype:Pho | Treatment:0 | Sample source:Cells
F11Genotype:Pho | Treatment:250 | Sample source:Cells
F12Genotype:QC | Treatment:QC | Sample source:Cells
Data matrix
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